Energy 4.0: AI-enabled digital transformation for sustainable power networks

Computers & Industrial Engineering, Год журнала: 2024, Номер 193, С. 110253 - 110253

Опубликована: Май 24, 2024

Язык: Английский

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AI-based anomaly identification techniques for vehicles communication protocol systems: Comprehensive investigation, research opportunities and challenges

Internet of Things, Год журнала: 2024, Номер 27, С. 101245 - 101245

Опубликована: Июнь 6, 2024

Язык: Английский

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A techno-economic framework for optimizing multi-area power dispatch in microgrids with tie-line constraints

Renewable Energy, Год журнала: 2024, Номер 231, С. 120854 - 120854

Опубликована: Июнь 25, 2024

Язык: Английский

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A review on harmonic elimination and mitigation techniques in power converter based systems

Electric Power Systems Research, Год журнала: 2024, Номер 234, С. 110573 - 110573

Опубликована: Июнь 12, 2024

Язык: Английский

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A review on challenges and future of green charging networks for zero emission electric transportation

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100867 - 100867

Опубликована: Янв. 1, 2025

Язык: Английский

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AI-enabled frequency synchronization control considering FDI attack using metaheuristic algorithm

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

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Cybersecurity in microgrids: A review on advanced techniques and practical implementation of resilient energy systems

Energy Strategy Reviews, Год журнала: 2025, Номер 58, С. 101654 - 101654

Опубликована: Фев. 5, 2025

Язык: Английский

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Distributed computing in multi-agent systems: a survey of decentralized machine learning approaches

Computing, Год журнала: 2024, Номер 107(1)

Опубликована: Ноя. 19, 2024

Язык: Английский

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Load frequency control of multi-area power system incorporated renewable energy considering electrical vehicle effect using modified cascaded controller tuned by BESSO algorithm

Heliyon, Год журнала: 2024, Номер 10(11), С. e31840 - e31840

Опубликована: Май 24, 2024

In power systems, load frequency control (LFC) matters significantly to achieve stability. Dealing with the fluctuations in of a multi-area system becomes more challenging by incorporating additional energy resources. this research, is built integrating thermal systems photovoltaic (PV) cells, wind turbines, and electric vehicles (EV). The addition an vehicle "to which integrated renewable source (RES)" increases productivity but also complexity, making it problematic for LFC. Looking at stability criteria LFC, frequencies two areas (Area-1 & Area-2) tie-line are considered measurements. For tuning proposed cascaded (1+PI)-PID controller, new approach Bald Eagle Sparrow Search Optimization (BESSO) algorithm implemented strongly inspired nature. BESSO combination bald eagle sparrow searching techniques performs comparatively better fast convergence due their strong food-seeking natural behavior find best solution controller gains. Controller effects on compared PV, wind, EV resulting measurements meet high accuracy even complexity undertake analysis prove performance minimizing undershoot, overshoot, steady-state error settling time power. Simulation results examined different load-changing conditions. contrast similar combinations PID claimed that effect much finer reliable, avoid blackout caused interconnected system. Tabled 1List Abbreviations TermsRESRenewable Energy Sources2Change Frequency area-2PVPhotovoltaic tie-lineChange Power Tie-LineEVElectric VehicleFAFirefly AlgorithmITAEIntegral Time Absolute ErrorGWOGray Wolf OptimizationACEArea Control ErrorCBOChaotic Butterfly Optimization1/ DroopReference Power1Change Area-1BESSOBald OptimizationKpsPower System GainTpsPower ConstantFrequency Bais Factor Aea-1Frequency Aea-1T12Synchronizing CoefficientReference Open table tab demand has increased manifold growing industry past decades. After industrialization whole world, last century, was means such as oil, coal nuclear energy, etc. These conventional or non-renewable sources have fatally affected global environment creating catastrophic health issues both human animals. Carbon dioxide one major environmental issues. To mitigate these issues, world turned zero carbon footprint low maintenance cost 14% obtained from [1Bevrani G.L.H. Ghosh A. Renewable regulation: survey perspectives.IET Renew. Gener. 2021; 4: 438-457Crossref Scopus (491) Google Scholar]. Although implementation (RESs) beneficial quite volatile nature [2M Gulzar M. Tehreem H. Khalid Modified Finite Sliding Mode Automatic Voltage Regulation under Fast-Changing Atmospheric Conditions Grid-Connected Solar Systems.International Journal Intelligent Systems. 2023; 2023Google When resources connected there certain occur, voltage. sudden changes, create imbalance generation demand, ultimately impacted [3Ghosh Ray A.K. Nurujjaman Jamshidi PV particle swarm optimized Ziegler–Nichols based controller.SN Appl. Sci. 3: 1-13Crossref (29) Electrical extensively used increase future its storage capacity adding up Electric (EVs) (RES) makes complicated obviously LFC issue needs tackle [4Gulzar Muhammad Majid. Designing Robust Stabilization Using Optimized MPC-($1+\text {PIDN} $) High Order Interconnected Based Systems.Protection Modern 8: 1-14Crossref (16) Stability big concern synchronization deliver smooth supply minimum loss. Managing key parameter, reliability term Load involves steady state automatic gain (AGC) variations make stable [5Sibtain D. Murtaza A.F. Ahmed N. Sher H.A. M.M. Multi adaptive fractional order PV/wind grid system.International Transactions 2020; So, crucial need handle introducing novel controlling technique capable manage rapid limits range. Latest transformation nonconventional structures. With advancement design, set off difficult. Therefore, researches been worked lot instability using simply designed controllers well advanced tuned algorithm. (AGC), PI most commonly cope simplicity easy modify [6Rameshar V. Sharma G. Bokoro P.N. Çelik E. Support Studies Diesel–Wind Generation Snake Optimizer-Oriented UC RFB.Energies. 16: 3417Crossref some studies, other improve outcomes [7Doley R. S. Application fuzzy single - Area double systems.2019 5th Int. Conf. Adv. Electr. Eng. ICAEE. 2019; (2019): 479-484https://doi.org/10.1109/ICAEE48663.2019.8975568Crossref (3) Scholar] logic area limited only Derivative filter-based optimal [8Patel N.C. Debnath M.K. Bagarty D.P. Das P. non-linear derivative filter.IEEE Power, Control. Signals Instrum. ICPCSI 2017. 2018; : 1515-1520Google robust MPC [9Kumar Singh multiarea secondary controllers.Trends Sciences. 2022; 19 (2044-2044)Crossref (6) AGC. A observer sliding mode Lyapunov method executed deal uncertainties chattering reduced deviate robustness [10Huynh V.V. Minh B.L.N. Amaefule E.N. Tran A.T. &P.T. Highly multi plant.Electronics. 10: 274Crossref (12) Novel model predictive (MPC) [11Yang J. Sun X. Liao K. He Z. Cai L. Model control-based wind-turbine generators.IET 13: 2871-2879https://doi.org/10.1049/iet-rpg.2018.6179Crossref (43) distributed (DMPC) [12Jia, Y., Zhou, J., Yong, P., Guo, (2022, December). Data-Driven Distributed Networked Nonlinear 2022 17th International Conference Control, Automation, Robotics Vision (ICARCV) (pp. 802-807), IEEE, 2022.Google utilized AGC real-time predictions basis sampled areas. modified form FOPID [13Gulzar Sibtain Cascaded Fractional Predictive Multiarea Hybrid Uncertainties.International Research. Crossref limit rang. literature, mostly authors methods systems. However, according requirements designs ways continuously shifting toward advancements resource [14Daraz Malik S.A. Basit Aslam Zhang Conventional Sources.Fractal Fract. 7: 89Crossref (31) It patent move traditional intelligent mechanism degradation because not enough real problems, optimization extend way handling response. Several Combination PIDD2-PD wild horse (WHO) [15Khudhair Ragab AboRas K.M. Abbasy N.H. smart newly PIDD2 PD controller.Sustainability. 14: 8223Crossref (14) Scholar], another PID, metaheuristic [16Saikia LC S.N. Incorporating resources, Gate Controlled Series Capacitor Along Direct Current Link ALO-Pattern Controller.IET gravitational search hybrid arithmetic [17R. Fatunmbi, Belkacemi, F. Ariyo, Radman, "Genetic storageless photo voltaic multi-agent system," 2017 North Am. Symp. NAPS 2017, 2017.Google Bacterial Foraging [18Abd-Elazim S.M. Ali E.S. design two-area composing generator via firefly algorithm.Neural Comput. 30: 607-616Crossref (172) Flower Pollination Algorithm (FPA) [19Jagatheesan Anand B. Samanta Dey Santhi Ashour A.S. Balas V.E. flower pollination nonlinearity.Neural Computing applications. 2017; 28: 475-488Crossref (74) too working tune controllers. Further, Sine Cosine [20Kamel, S., Elkasem, H., Korashy, A., Ahmed, Design Two DFIG Wind Turbine. 2019 Computer, Electrical, Electronics Engineering (ICCCEEE) 1-5). 2019.Google Improved Black Widow [21Khalid et al.A computational paradigm scheduling networks considering uncertainty limitations.Energy Reports. 2024; 11: 1959-1978Crossref (0) Constrained population extremal [22Mustafa Faizan al.An Tennessee Eastman process industrial fault tolerant system.Plos one. 19e0296471Crossref Harries Hawks Optimizer (HHO) [23Yousri Babu T.S. Fathy Recent methodology Harris optimizer designing incorporated multi-interconnected plants.Sustainable Energy, Grids Networks. 2210035Crossref (90) [24Ahmed Ijaz al.Adaptive salp sustainable economic dispatch sources.Renewable Energy. 223119944Crossref (5) [25Gulzar Irfan Shahid Raza M.T. Javed I. Considering Impact Communication Delay.Electric Components 1-15Crossref Manta (MRFO) [26El-Sousy F.F. Alqahtani M.H. Aljumah Aly Almutairi S.Z. Mohamed E.A. Fractional-Order Controllers Vehicles Utilizing Fractional. 603Crossref (4) Artificial Field (AEFA) [27Kalyan C.H. Rao G.S. Coordinated SMES TCSC Damping Diverse Sources.International Informatics. 12Google Path Finder [28Priyadarshani Subhashini K.R. Satapathy J.K. Pathfinder tilt-integral-derivative (FOTID) multi-source system.Microsystem Technologies. 27: 23-35Crossref (63) Mayfly [29Subramani Mani Lai W.C. Ramamurthy Sustainable Management Variable Optimization.Sustainability. 6478Crossref Grasshopper (GOA) [30Lal D.K. Barisal systems.Recent Advances Electronic (Formerly Patents Engineering). 12: 519-531Crossref Squirrel [31Maden Houssein E.H. applied effective estimation solar parameters: real-world practice.Neural Applications. 35: 13529-13546Crossref (10) Marine Predator (MPA) [32Yakout A.H. Sabry W. Abdelaziz A.Y. Hasanien H.M. Kotb Enhancement marine predator PIDA controlled STATCOM.Alexandria Journal. 61: 5851-5867Crossref recently worked. techniques, gray wolf Cuckoo (CS) algorithms TID [33Khadanga R.K. Kumar Panda Grey system.Applied soft computing. 124109011Crossref (49) strategies showed error, undershoot reduction oscillations untimely computation complexity. Taking into account discussed essential introduce advance balance integration multiple must be covered problem within frame smoothly precisely. objective, strategy named stimulated enhance stability, reliability, important sustainability resource. (BaESO) (SpSOA) highly than algorithms. Its dual optimizing differs swarming quickly resulted local minima trap. Mathematical benchmark superior [34Raj T.D. C. Kotsampopoulos Fayek, H H.H. Two-Area Multi-Source Eagle-Sparrow Tuned Controller.Energies. 2014; Contribution novelty research above aspects are:•Development (Thermal system) (PV, wind) separated tie-line.•Modified resolve problem. get parameters.•Analyzed participation aggregator areas.•Examined Comparative carried out identical Organization paper done following way: Section 2, modeling explained discussion system, EV. 3 about space modelling 4. analyzed conditions comparison 5. Conclusion given 6. Working followed block diagram Figure 1. Where each constructed having four thermal, further through tie line controller. consists governor dead band, turbine re-heater. Governor valve speed Re-heater regulates temperature equal level governor's temperature. components defined transfer functions shown 2. There inputs mentioned equation (1), change ( ) reference ), where 1/ represent droop.(1) Transfer function (Gg) (2), constant denoted Tgr, (Gt) re-heater (Gr).(2) Gt (3), Kt Tt turbine.(3) (4), illustrated Kr, Tr respectively.(4) Parametric values taken [35Gulzar Murawwat Saadi Jameel Adaptive proportional-integral oscillation system.Int. Trans. Syst. 31: 1-20https://doi.org/10.1002/2050-7038.12643Crossref (26) (ACE) 1 2 ((5), (6)) respectively, biasing factor B difference Ptie-line.(5) Photo become part availability, converts sun light energy. efficiency generated cell weather variation irradiation. words, we can say input uncertain many factors panel degradation, inverter efficiency, dust dirt accumulation panels, shading, angle orientation panels degrades performance. Furthermore, seen graph provided figure current voltage (I-V) power-voltage (P-V) curve shown. all operate maximum point (MPP) efficiency. tracking (MPPT), irradiance 1000 W/m2 250 C 150W 30 kW 4.Figure 4Block diagramof systemView Large Image ViewerDownload Hi-res image Download (PPT) (7), G between DC (VDC) AC (VAC).(7) Boost converter (9) (8).(8) Here, I1 I2 currents Gc (10).(10) By taking Laplace transform (10), IAC [s2 / (s2 + w2)] = 1/s. Gi (11).(11) instantaneous (12), impedance VmIm.(12) VmIm shows f (50) 314.12 rad/s. (13) average stated (14).(13) Gain (15):(15) (Gi), Gp(inst) Gp(avg) MATLAB/Simulink. mechanical drive rotor. train rotor blades noise strength concerns, rotate speed. gear box blades. excessively winds, break step-up transformer types vertical axis horizontal turbine. Their 10kW 8000kW turbines. output derived [36Oshnoei Oshnoei Mosallanejad Haghjoo scheme including redox flow battery.International 130107033Crossref (62) Scholar].(16) Pw turbine, p air density, Ap swept rotor, vw Cp coefficient aerodynamic , tip ratio blade pitch respectively. (17), expressed as:(17) (18) Equation (18), nonlinear ratio, where, t R radius case random multiplied Simulink blocks white pass filter. (PW) (16). complete EVs play vital role while differences them (EV) thermal-PV-Wind minimize changing active state. combined specified constraints, supposed charging discharging continuous rate. First [37C. Chen, Man, Tong, "Control regulation vehicles," IEEE PES Asia-Pacific (APPEEC) 2101-2105), october 2016.Google reflecting Here (19).(19) battery. -4 0.008 sec, value negative constant, very small. Block response assumptions regarding EV's:•Ignoring charge (SOC) EVs.•Ignoring battery life. serve primary regulations, losses so they vehicle. regulating Moreover, investigated 7.Figure 7Transfer fuction section state-space performed studied penetration described equations ((20), (21)):(20) (21) From (20), denotes vector, disturbance vector represented . vectors as: ((22), (23)).(22) (23)

Язык: Английский

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Consensus and Clustering Approach for Dynamic Event-Triggered Distributed Optimization of Power System Networks With Saturation Constraint Approche de consensus et de regroupement pour l’optimisation dynamique distribuée déclenchée par les événements des réseaux électriques avec contrainte de saturation

Canadian Journal of Electrical and Computer Engineering, Год журнала: 2024, Номер 47(3), С. 136 - 147

Опубликована: Янв. 1, 2024

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